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FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
\"Start\" to start the fuzzy cluste
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FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
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一个用VC++开发的采用模糊C均值聚类算法.-a VC development of the fuzzy c-means clustering algorithm.
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是一个基于Matlab软件的模糊C-means聚类算法原代码-Matlab is a software based on the fuzzy C-means clustering algorithm source code
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基于matlab的核模糊C-means聚类算法(KFCM),-Matlab-based nuclear Fuzzy C-means clustering algorithm (SN)
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模糊c均值,m值，误差限，迭代次数由用户自己输入，聚类效果好。-fuzzy c-means, m value, the error limits, the number of iterations user input, clustering effects.
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用 MATLAB 编写的 模糊C均值聚类法源程序
和模糊k均值聚类法源程序,比较实用。-using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.
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高光谱遥感图像模糊c均值聚类算法的matlab实现-hyperspectral remote sensing images fuzzy c-means clustering algorithm to achieve the Matlab
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模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数-Fuzzy C - Means clustering MATLAB, which contains 10 MATLAB function
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这是一个改进的快速实现模糊c-means聚类算法的程序-This is a rapidly improving the fuzzy c-means clustering algorithm procedures
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模糊C均值初始聚类中心的选择，供初学者参考,Fuzzy C-means clustering center of the initial choice of reference for beginners
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实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
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核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体-Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form
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介绍几种模糊c均值聚类算法，利用该算法进行点云以及图像的分割。-fuzzy c means clustering
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高斯马尔科夫随机场和模糊c均值聚类的matlab源程序-Gassian Markov random filed and fuzzy c means clustering matlab source code
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遗传算法和模糊C-均值聚类相结合的MATLAB程序-Combination of genetic algorithms and fuzzy C-means clustering MATLAB program
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自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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遗传模拟优化初始聚类中心,模糊C均值聚类(Genetic algorithm is used to optimize initial clustering centers and fuzzy C means clustering.)
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Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
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